A-Track: A new approach for detection of moving objects in FITS images

Published: 1 October 2016| Version 1 | DOI: 10.17632/9d9dd5vvsc.1
T. Atay, M. Kaplan, Y. Kilic, N. Karapinar


This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract We have developed a fast, open-source, cross-platform pipeline, called A-Track, for detecting the moving objects (asteroids and comets) in sequential telescope images in FITS format. The pipeline is coded in Python 3. The moving objects are detected using a modified line detection algorithm, called MILD. We tested the pipeline on astronomical data acquired by an SI-1100 CCD with a 1-meter telescope. We found that A-Track performs very well in terms of detection efficiency, stability, and proc... Title of program: A-TRACK Catalogue Id: AFBC_v1_0 Nature of problem Asteroid and comet detection. Versions of this program held in the CPC repository in Mendeley Data AFBC_v1_0; A-TRACK; 10.1016/j.cpc.2016.07.023



Computer Graphics, Computational Physics